Forecasting

2018 - 2025

Current editor(s): Ms. Joss Chen

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Volume 7, issue 2, 2025

Volatility Modelling of the Johannesburg Stock Exchange All Share Index Using the Family GARCH Model pp. 1-33

Israel Maingo, Thakhani Ravele and Caston Sigauke

Mode Decomposition Bi-Directional Long Short-Term Memory (BiLSTM) Attention Mechanism and Transformer (AMT) Model for Ozone (O 3 ) Prediction in Johannesburg, South Africa pp. 1-19

Israel Edem Agbehadji and Ibidun Christiana Obagbuwa

Correction: Ferreira Lima dos Santos et al. Riding into Danger: Predictive Modeling for ATV-Related Injuries and Seasonal Patterns. Forecasting 2024, 6, 266–278 pp. 1-1

Fernando Ferreira Lima dos Santos, Farzaneh Khorsandi and Guilherme De Moura Araujo

Day-Ahead Energy Price Forecasting with Machine Learning: Role of Endogenous Predictors pp. 1-16

Chibuike Chiedozie Ibebuchi

Volume 7, issue 1, 2024

Dynamic Bayesian Network Model for Overhead Power Lines Affected by Hurricanes pp. 1-27

Kehkashan Fatima and Hussain Shareef

The MECOVMA Framework: Implementing Machine Learning Under Macroeconomic Volatility for Marketing Predictions pp. 1-27

Manuel Muth

Temporal Attention-Enhanced Stacking Networks: Revolutionizing Multi-Step Bitcoin Forecasting pp. 1-28

Phumudzo Lloyd Seabe, Edson Pindza, Claude Rodrigue Bambe Moutsinga and Maggie Aphane

Exchange Rates, Supply Chain Activity/Disruption Effects, and Exports pp. 1-14

Simiso Msomi and Paul-Francios Muzindutsi

White Noise and Its Misapplications: Impacts on Time Series Model Adequacy and Forecasting pp. 1-14

Hossein Hassani, Leila Marvian Mashhad, Manuela Royer-Carenzi, Mohammad Reza Yeganegi and Nadejda Komendantova

Multifeature-Driven Multistep Wind Speed Forecasting Using NARXR and Modified VMD Approaches pp. 1-24

Rose Ellen Macabiog and Jennifer Dela Cruz

Forecasting Wind Speed Using Climate Variables pp. 1-23

Rafael Araujo Couto, Paula Medina Maçaira Louro and Fernando Luiz Cyrino Oliveira

Testing for Bias in Forecasts for Independent Multinomial Outcomes pp. 1-8

Philip Hans Franses and Richard Paap

Methodology Based on BERT (Bidirectional Encoder Representations from Transformers) to Improve Solar Irradiance Prediction of Deep Learning Models Trained with Time Series of Spatiotemporal Meteorological Information pp. 1-21

Llinet Benavides-Cesar, Miguel-Ángel Manso-Callejo and Calimanut-Ionut Cira

Assessment of Deep Neural Network Models for Direct and Recursive Multi-Step Prediction of PM10 in Southern Spain pp. 1-21

Javier Gómez-Gómez, Eduardo Gutiérrez de Ravé and Francisco J. Jiménez-Hornero

Evaluating the Potential of Copulas for Modeling Correlated Scenarios for Hydro, Wind, and Solar Energy pp. 1-21

Anderson M. Iung, Fernando L. Cyrino Oliveira, Andre L. M. Marcato and Guilherme A. A. Pereira

Comparative Analysis of Physics-Guided Bayesian Neural Networks for Uncertainty Quantification in Dynamic Systems pp. 1-21

Xinyue Xu and Julian Wang

Comparative Analysis of Supervised Learning Techniques for Forecasting PV Current in South Africa pp. 1-20

Ely Ondo Ekogha and Pius A. Owolawi

Synthetic Demand Flow Generation Using the Proximity Factor pp. 1-20

Ekin Yalvac and Michael G. Kay

Volume 6, issue 4, 2024

Transforming Agricultural Productivity with AI-Driven Forecasting: Innovations in Food Security and Supply Chain Optimization pp. 1-27

Sambandh Bhusan Dhal and Debashish Kar

Climate Risks and Real Gold Returns over 750 Years pp. 1-16

Rangan Gupta, Anandamayee Majumdar, Christian Pierdzioch and Onur Polat

A Foresight Framework for the Labor Market with Special Reference to Managerial Roles—Toward Diversified Skill Portfolios pp. 1-16

Anna-Maria Kanzola and Panagiotis E. Petrakis

Granger Causality-Based Forecasting Model for Rainfall at Ratnapura Area, Sri Lanka: A Deep Learning Approach pp. 1-28

Shanthi Saubhagya, Chandima Tilakaratne, Pemantha Lakraj and Musa Mammadov

Does Google Analytics Improve the Prediction of Tourism Demand Recovery? pp. 1-17

Ilse Botha and Andrea Saayman

Using Machine Deep Learning AI to Improve Forecasting of Tax Payments for Corporations pp. 1-17

Charles Swenson

Is Football Unpredictable? Predicting Matches Using Neural Networks pp. 1-17

Luiz E. Luiz, Gabriel Fialho and João P. Teixeira

Projecting Climate Change Impacts on Channel Depletion in the Sacramento–San Joaquin Delta of California in the 21st Century pp. 1-26

Sohrab Salehi, Seyed Ali Akbar Salehi Neyshabouri, Andrew Schwarz and Minxue He

Forecasting Hydropower with Innovation Diffusion Models: A Cross-Country Analysis pp. 1-20

Farooq Ahmad, Livio Finos and Mariangela Guidolin

Forecasting Raw Material Yield in the Tanning Industry: A Machine Learning Approach pp. 1-20

Ismael Cristofer Baierle, Leandro Haupt, João Carlos Furtado, Eluza Toledo Pinheiro and Miguel Afonso Sellitto

Assessing Meteorological Drought Patterns and Forecasting Accuracy with SPI and SPEI Using Machine Learning Models pp. 1-19

Bishal Poudel, Dewasis Dahal, Mandip Banjara and Ajay Kalra

Forecasting Short- and Long-Term Wind Speed in Limpopo Province Using Machine Learning and Extreme Value Theory pp. 1-23

Kgothatso Makubyane and Daniel Maposa

Synergy of Modern Analytics and Innovative Managerial Decision-Making in the Turbulent and Uncertain New Normal pp. 1-25

Maria Kovacova, Eva Kalinova, Pavol Durana and Katarina Frajtova Michalikova

Constructing Cybersecurity Stocks Portfolio Using AI pp. 1-13

Avishay Aiche, Zvi Winer and Gil Cohen

Volume 6, issue 3, 2024

Evaluating Wind Speed Forecasting Models: A Comparative Study of CNN, DAN2, Random Forest and XGBOOST in Diverse South African Weather Conditions pp. 1-28

Fhulufhelo Walter Mugware, Caston Sigauke and Thakhani Ravele

Modeling CO 2 Emission Forecasting in Energy Consumption of the Industrial Building Sector under Sustainability Policy in Thailand: Enhancing the LISREL-LGM Model pp. 1-17

Chaiyan Junsiri, Pruethsan Sutthichaimethee and Nathaporn Phong-a-ran

R&D Expenditures and Analysts’ Earnings Forecasts pp. 1-17

Taoufik Elkemali

Data-Centric Benchmarking of Neural Network Architectures for the Univariate Time Series Forecasting Task pp. 1-30

Philipp Schlieper, Mischa Dombrowski, An Nguyen, Dario Zanca and Bjoern Eskofier

Forecasting Container Throughput of Singapore Port Considering Various Exogenous Variables Based on SARIMAX Models pp. 1-13

Geun-Cheol Lee and June-Young Bang

A Delphi–Fuzzy Delphi Study on SDGs 9 and 12 after COVID-19: Case Study in Brazil pp. 1-18

Isabela Caroline de Sousa, Tiago F. A. C. Sigahi, Izabela Simon Rampasso, Gustavo Hermínio Salati Marcondes de Moraes, Walter Leal Filho, João Henrique Paulino Pires Eustachio and Rosley Anholon

Forecasting Lattice and Point Spatial Data: Comparison of Unilateral and Multilateral SAR Models pp. 1-18

Carlo Grillenzoni

Systematic Mapping Study of Sales Forecasting: Methods, Trends, and Future Directions pp. 1-31

Hamid Ahaggach, Lylia Abrouk and Eric Lebon

Cryptocurrency Price Prediction Algorithms: A Survey and Future Directions pp. 1-35

David L. John, Sebastian Binnewies and Bela Stantic

Forecasting the CBOE VIX and SKEW Indices Using Heterogeneous Autoregressive Models pp. 1-33

Massimo Guidolin and Giulia F. Panzeri

An In-Depth Look at Rising Temperatures: Forecasting with Advanced Time Series Models in Major US Regions pp. 1-24

Kameron B. Kinast and Ernest Fokoué

A Markov Switching Autoregressive Model with Time-Varying Parameters pp. 1-23

Syarifah Inayati, Nur Iriawan and Irhamah

Impact of PV and EV Forecasting in the Operation of a Microgrid pp. 1-25

Giampaolo Manzolini, Andrea Fusco, Domenico Gioffrè, Silvana Matrone, Riccardo Ramaschi, Marios Saleptsis, Riccardo Simonetti, Filip Sobic, Michael James Wood, Emanuele Ogliari and Sonia Leva

Electricity Consumption Forecasting: An Approach Using Cooperative Ensemble Learning with SHapley Additive exPlanations pp. 1-25

Eduardo Luiz Alba, Gilson Adamczuk Oliveira, Matheus Henrique Dal Molin Ribeiro and Érick Oliveira Rodrigues

Time-Series Interval Forecasting with Dual-Output Monte Carlo Dropout: A Case Study on Durian Exports pp. 1-21

Unyamanee Kummaraka and Patchanok Srisuradetchai

A Data-Driven Multi-Step Flood Inundation Forecast System pp. 1-21

Felix Schmid and Jorge Leandro

Predicting Power Consumption Using Deep Learning with Stationary Wavelet pp. 1-21

Majdi Frikha, Khaled Taouil, Ahmed Fakhfakh and Faouzi Derbel

Volume 6, issue 2, 2024

Forecasting Thailand’s Transportation CO 2 Emissions: A Comparison among Artificial Intelligent Models pp. 1-23

Thananya Janhuaton, Vatanavongs Ratanavaraha and Sajjakaj Jomnonkwao

Utilizing the Honeybees Mating-Inspired Firefly Algorithm to Extract Parameters of the Wind Speed Weibull Model pp. 1-21

Abubaker Younis, Fatima Belabbes, Petru Adrian Cotfas and Daniel Tudor Cotfas

Machine Learning-Enhanced Pairs Trading pp. 1-22

Eli Hadad, Sohail Hodarkar, Beakal Lemeneh and Dennis Shasha

Predictive Maintenance Framework for Fault Detection in Remote Terminal Units pp. 1-27

Alexios Lekidis, Angelos Georgakis, Christos Dalamagkas and Elpiniki I. Papageorgiou

Heavy Rainfall Events in Selected Geographic Regions of Mexico, Associated with Hail Cannons pp. 1-16

Victor M. Rodríguez-Moreno and Juan Estrada-Ávalos

Riding into Danger: Predictive Modeling for ATV-Related Injuries and Seasonal Patterns pp. 1-13

Fernando Ferreira Lima dos Santos, Farzaneh Khorsandi and Guilherme De Moura Araujo

Forecasting and Anomaly Detection in BEWS: Comparative Study of Theta, Croston, and Prophet Algorithms pp. 1-14

Aleksandr N. Grekov, Elena V. Vyshkvarkova and Aleksandr S. Mavrin

Deep Survival Models Can Improve Long-Term Mortality Risk Estimates from Chest Radiographs pp. 1-14

Mingzhu Liu, Chirag Nagpal and Artur Dubrawski

An Alternative Proof of Minimum Trace Reconciliation pp. 1-6

Sakai Ando and Futoshi Narita

Deep Learning Models for Bitcoin Prediction Using Hybrid Approaches with Gradient-Specific Optimization pp. 1-17

Amina Ladhari and Heni Boubaker

Forecasting Convective Storms Trajectory and Intensity by Neural Networks pp. 1-17

Niccolò Borghi, Giorgio Guariso and Matteo Sangiorgio

Forecasting Daily Activity Plans of a Synthetic Population in an Upcoming District pp. 1-26

Rachid Belaroussi and Younes Delhoum

The Technological Impact on Employment in Spain between 2023 and 2035 pp. 1-30

Oussama Chemlal and Wafaa Benomar

Volume 6, issue 1, 2023

Advancements in Downscaling Global Climate Model Temperature Data in Southeast Asia: A Machine Learning Approach pp. 1-17

Teerachai Amnuaylojaroen

Applying Machine Learning and Statistical Forecasting Methods for Enhancing Pharmaceutical Sales Predictions pp. 1-17

Konstantinos P. Fourkiotis and Athanasios Tsadiras

A Composite Tool for Forecasting El Niño: The Case of the 2023–2024 Event pp. 1-17

Costas Varotsos, Nicholas V. Sarlis, Yuri Mazei, Damir Saldaev and Maria Efstathiou

Improvement on Forecasting of Propagation of the COVID-19 Pandemic through Combining Oscillations in ARIMA Models pp. 1-18

Eunju Hwang

State-Dependent Model Based on Singular Spectrum Analysis Vector for Modeling Structural Breaks: Forecasting Indonesian Export pp. 1-18

Yoga Sasmita, Heri Kuswanto and Dedy Prastyo

Predictive Analytics of Air Temperature in Alaskan Permafrost Terrain Leveraging Two-Level Signal Decomposition and Deep Learning pp. 1-26

Aymane Ahajjam, Jaakko Putkonen, Emmanuel Chukwuemeka, Robert Chance and Timothy J. Pasch

Bootstrapping Long-Run Covariance of Stationary Functional Time Series pp. 1-14

Han Lin Shang

Effective Natural Language Processing Algorithms for Early Alerts of Gout Flares from Chief Complaints pp. 1-15

Lucas Lopes Oliveira, Xiaorui Jiang, Aryalakshmi Nellippillipathil Babu, Poonam Karajagi and Alireza Daneshkhah

Data-Driven Models to Forecast the Impact of Temperature Anomalies on Rice Production in Southeast Asia pp. 1-15

Sabrina De Nardi, Claudio Carnevale, Sara Raccagni and Lucia Sangiorgi

Forecasting the Occurrence of Electricity Price Spikes: A Statistical-Economic Investigation Study pp. 1-23

Manuel Zamudio López, Hamidreza Zareipour and Mike Quashie

Developing Personalised Learning Support for the Business Forecasting Curriculum: The Forecasting Intelligent Tutoring System pp. 1-20

Devon Barrow, Antonija Mitrovic, Jay Holland, Mohammad Ali and Nikolaos Kourentzes

Bootstrapping State-Space Models: Distribution-Free Estimation in View of Prediction and Forecasting pp. 1-19

José Francisco Lima, Fernanda Catarina Pereira, Arminda Manuela Gonçalves and Marco Costa

Can Denoising Enhance Prediction Accuracy of Learning Models? A Case of Wavelet Decomposition Approach pp. 1-19

C. Tamilselvi, Md Yeasin, Ranjit Kumar Paul and Amrit Kumar Paul